Metadata-Version: 2.1
Name: dewloosh.mpl
Version: 0.0.1
Summary: Domain spceific data visualization with matplotlib.
Home-page: https://github.com/dewloosh/dewloosh-mpl
Author: Bence Balogh
Author-email: dewloosh@gmail.com
License: UNKNOWN
Download-URL: https://github.com/dewloosh/dewloosh-mpl/archive/refs/tags/0.0.1.zip
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7, <3.11
Description-Content-Type: text/markdown
Requires-Dist: setuptools
Requires-Dist: wheel
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: dewloosh.core
Requires-Dist: neumann
Requires-Dist: polymesh

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dewloosh/PolyMesh/main?labpath=notebooks%5Cgrid.ipynb)
[![CircleCI](https://circleci.com/gh/dewloosh/PolyMesh.svg?style=shield)](https://circleci.com/gh/dewloosh/PolyMesh) 
[![Documentation Status](https://readthedocs.org/projects/polymesh/badge/?version=latest)](https://polymesh.readthedocs.io/en/latest/?badge=latest) 
[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![PyPI](https://badge.fury.io/py/PolyMesh.svg)](https://pypi.org/project/PolyMesh) 

# **dewloosh.mpl** - Domain spceific data visualization with matplotlib

This a lightweight library serving as a place to gather code snippets for
working with matplotlib. The uses cases are usually domain specific, likely to be related
to other dewloosh projects.

## **Documentation**

Click [here](https:/dewloosh-mpl.readthedocs.io/en/latest/) to read the documentation.

## **Installation**
This is optional, but we suggest you to create a dedicated virtual enviroment at all times to avoid conflicts with your other projects. Create a folder, open a command shell in that folder and use the following command

```console
>>> python -m venv venv_name
```

Once the enviroment is created, activate it via typing

```console
>>> .\venv_name\Scripts\activate
```

`latexdocs` can be installed (either in a virtual enviroment or globally) from PyPI using `pip` on Python >= 3.7:

```console
>>> pip install dewloosh.mpl
```

## **License**

This package is licensed under the MIT license.

